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Developer Support Engineer
Location
United States
Posted
9 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role is ideal for technically skilled problem-solvers who are passionate about helping developers overcome complex challenges and ship high-quality software faster. You will work closely with customers building AI-powered applications, troubleshooting issues in real-world codebases, and collaborating with Engineering, Product, and Solutions teams to improve developer workflows. The position blends hands-on technical work with empathetic customer support, offering the opportunity to shape the developer experience, contribute to documentation and tooling, and influence product improvements. You will be part of a fast-paced, collaborative environment where your technical expertise directly impacts the success of developers and the broader product ecosystem. This is a chance to take ownership of challenging problems, mentor peers, and help create scalable systems that benefit future developers.
- Diagnose, troubleshoot, and resolve issues with APIs, SDKs, and developer tools, primarily using Python and/or TypeScript.
- Reproduce customer-reported bugs, investigate root causes, and collaborate with Engineering to implement fixes.
- Manage support communications with developers via Slack and email, providing clear, empathetic, and actionable guidance.
- Write and maintain knowledge base documentation to streamline future developer problem-solving.
- Identify opportunities to enhance developer workflows, tooling, and overall experience.
- Capture and relay customer feedback to Product and Engineering teams to influence roadmap priorities.
- Participate in on-call rotations, responding to critical customer issues and providing coverage as needed.
- Mentor team members, guide support processes, and champion best practices for developer experience and product reliability.
Qualifications
- 3–8+ years of experience in technical support or developer-facing roles (Support Engineer, Developer Success Engineer, Technical Account Manager, etc.).
- Proficient in Python and/or TypeScript with strong debugging and reasoning skills.
- Ability to quickly learn and navigate APIs, SDKs, and developer tools.
- Strong ownership mentality and persistence in resolving customer issues.
- Exceptional communication skills, with the ability to explain complex technical issues clearly and empathetically.
- Interest in LLMs, AI tools, and supporting products that enhance AI reliability, observability, and trustworthiness.
Requirements
- Experience with ML infrastructure, developer tools, or observability platforms.
- Familiarity with OpenAI, Anthropic, or similar LLM APIs.
- Exposure to datasets, evaluation metrics, or prompt engineering.
- Contribution to support tooling, documentation, or product-led growth initiatives.
- Senior technical team or tech lead experience in high-growth environments.
- Production code contributions to backend services, SDKs, or infrastructure.
- Cloud certifications or experience with containerized environments (Terraform, Kubernetes).
Benefits
- Competitive salary and equity opportunities.
- Medical, dental, and vision insurance.
- Flexible time off and work arrangements.
- Daily lunch, snacks, and beverages (for hybrid/on-site teams).
- AI stipend for learning and experimentation.
- Opportunity to solve challenging technical problems and directly impact developer success.
Job Requirements
- 3–8+ years of experience in technical support or developer-facing roles (Support Engineer, Developer Success Engineer, Technical Account Manager, etc.).
- Proficient in Python and/or TypeScript with strong debugging and reasoning skills.
- Ability to quickly learn and navigate APIs, SDKs, and developer tools.
- Strong ownership mentality and persistence in resolving customer issues.
- Exceptional communication skills, with the ability to explain complex technical issues clearly and empathetically.
- Interest in LLMs, AI tools, and supporting products that enhance AI reliability, observability, and trustworthiness.
- Experience with ML infrastructure, developer tools, or observability platforms.
- Familiarity with OpenAI, Anthropic, or similar LLM APIs.
- Exposure to datasets, evaluation metrics, or prompt engineering.
- Contribution to support tooling, documentation, or product-led growth initiatives.
- Senior technical team or tech lead experience in high-growth environments.
- Production code contributions to backend services, SDKs, or infrastructure.
- Cloud certifications or experience with containerized environments (Terraform, Kubernetes).
Benefits
- Competitive salary and equity opportunities.
- Medical, dental, and vision insurance.
- Flexible time off and work arrangements.
- Daily lunch, snacks, and beverages (for hybrid/on-site teams).
- AI stipend for learning and experimentation.
- Opportunity to solve challenging technical problems and directly impact developer success.
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